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Nature-Inspired Intelligent Computing Techniques in Bioinformatics (Hardcover, 1st ed. 2023) Loot Price: R5,132
Discovery Miles 51 320
Nature-Inspired Intelligent Computing Techniques in Bioinformatics (Hardcover, 1st ed. 2023): Khalid Raza

Nature-Inspired Intelligent Computing Techniques in Bioinformatics (Hardcover, 1st ed. 2023)

Khalid Raza

Series: Studies in Computational Intelligence, 1066

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Loot Price R5,132 Discovery Miles 51 320 | Repayment Terms: R481 pm x 12*

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This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Studies in Computational Intelligence, 1066
Release date: November 2022
First published: 2023
Editors: Khalid Raza
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 328
Edition: 1st ed. 2023
ISBN-13: 978-981-19-6378-0
Categories: Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General
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LSN: 981-19-6378-9
Barcode: 9789811963780

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